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Gen AI Roadmap Accelerator

Explore the transformative impact of generative AI and discover strategic approaches for integrating and scaling this technology to drive business innovation, efficiency, and growth. Maximize the ROI of your AI investments at the convergence of data, cloud, and APIs with AWS services such as Bedrock and Amazon Q.   The 7-day planner provides a structured approach to conducting the Generative AI Roadmap Accelerator workshops. It ensures clear responsibilities, definesd activities, and specific outputs for each collaborative session with Encora,, facilitating a comprehensive and actionable AI adoption strategy for the client.
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About

Phase 1: Review and Kickoff (3 days)

Understand the client's business and industry on a high level.

Preliminary data gathering on the client's current AI initiatives (if any), and usage of AWS services, especially those related to AI

Define the RACI matrix as R: Encora AI Strategy Lead, A: Client CTO/CIO, C: Encora Industry Expert, Technical AI Specialist, Client Head of AI/Data/Analytics, Chief Strategy Officer I: Client Business Unit Leaders

We perform the following activities as part of phase 1

Introduction to the Generative AI Roadmap Accelerator

Overview of the 5-level maturity model

Assessment of current state maturity for each Key Process Area

Model Lifecycle

Deployment Operations

Human-AI Collaboration

Governance & Ethics

Innovation & Emerging Techniques

Industry-specific KPAs (e.g., Product Development, Marketing & Distribution, Customer Service)

Gap analysis between current and target state

Review of organizational strategy and goals

Identification of target maturity levels for each KPA

Prioritization of process areas based on potential impact

Deliverables from Phase 1:

Current & target state maturity assessment for each KPA

Gap analysis document

Workshop summary and next steps

Prioritized list of process areas for improvement

Phase 2: Planning (3 days)

Activities:

Develop a phased roadmap to advance priority areas

Enhance people, processes, and technology & establishment of progress tracking metrics

Discussion of quick wins and long-term strategic initiatives

Resource allocation recommendations for each stage

Build risk mitigation strategies

Integration points with existing business processes and systems

Skill gap analysis and training plan outline

AWS services and architecture recommendations to develop quick wins

Deliverables from Phase 2:

First draft of Generative AI Adoption Roadmap

List of defined initiatives

Progress tracking metrics framework

Identified quick wins and long-term initiatives

Resource allocation plan

Risk mitigation strategy document

Integration plan

Skill gap analysis and preliminary training plan

Phase 3 - Final Review (1 day)

Activities:

Presentation of the comprehensive Generative AI Adoption Roadmap

Review of all key deliverables

Discussion of immediate action items

Planning for ongoing support and check-in

Deliverables from Phase 3:

Finalized Generative AI Adoption Roadmap

Comprehensive Gap Analysis Report

Prioritized Initiative Recommendations

Progress Tracking Metrics Framework

Action item list with owners and timelines

Ongoing support and check-in schedule

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